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Udemy – Unsupervised Machine Learning Hidden Markov Models in Python 2023-11

Udemy – Unsupervised Machine Learning Hidden Markov Models in Python 2023-11

Published on: 2024-02-05 03:15:59

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Description

Unsupervised Machine Learning Hidden Markov Models in Python is a course from Udemy that explains Markov’s hidden model for stock price analysis, language modeling, website statistics, and biology. Markov’s hidden model is generally related to sequels. Many of the data that are suitable for building the model are included in the sequence. For example, stock value is a sequence of prices and language is a sequence of words. In short, sequels are everywhere, and having the ability to analyze them is an essential skill in data science.

In this tutorial, you will learn how to measure the probability distribution of a sequence of random variables and learn a lot about deep learning. During this time we work with Theano and Tensorflow libraries and fully explain the hidden model of Markov. This course examines many of Markov’s models and Markov’s hidden model, as well as how to analyze and predict disease and health models.

Courses taught in this course:

Specifications of Unsupervised Machine Learning Hidden Markov Models in Python:

Course Content on 2024/2

Unsupervised Machine Learning Hidden Markov Models in Python

Course prerequisites

Pictures

Unsupervised Machine Learning Hidden Markov Models in Python

Sample movie

Installation guide

After Extract, view with your favorite Player.

Subtitle: English

Quality: 720p

Changes:

Version 2020/12 compared to 2018/10 has increased the number of 1 lesson and the duration of 12 minutes.

Version 2023/11 compared to 2020/12 has increased the number of 2 lessons and the duration of 33 minutes.

Download link

Download Part 1 – 1 GB

Download Part 2 – 992 MB

File password (s): www.downloadly.ir

Size

1.99 GB

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